Data platforms are comprehensive and integrated solutions that facilitate the storage, processing, management, and analysis of data within an organisation. It provides a centralised framework to handle various types of data, from structured to unstructured, and enables data-driven decision-making processes.

At Dataglyphix, we recommend and implement the following data platforms for our customers:

Microsoft Fabric

Microsoft Fabric is the latest data and analytics platform announced by Microsoft for public preview in May 2023. It is an all-in-one analytics solution for enterprises that covers everything from data movement to data science, Real-Time Analytics, and business intelligence. It offers a comprehensive suite of services, including data lake, data engineering, and data integration, all in one place. With Fabric, you don’t need to piece together different services from multiple vendors. Instead, you can enjoy a highly integrated, end-to-end, and easy-to-use product that is designed to simplify your analytics needs.The platform is built on a foundation of Software as a Service (SaaS), which takes simplicity and integration to a whole new level.

Azure Synapse Analytics is Microsoft’s current data and analytics platform, offering a comprehensive suite of tools and services for data integration, data warehousing, big data processing, and advanced analytics. It has almost the same capabilities as Microsoft Fabric less the new capabilities.

data platform

Databricks is a cloud-based unified data analytics platform that simplifies big data and artificial intelligence (AI) workflows for organizations. It was founded by the creators of Apache Spark and provides an interactive workspace where data engineers, data scientists, and analysts can collaborate to perform data processing, machine learning, and advanced analytics tasks. Databricks’ platform integrates with various data sources, offers scalable computing resources, and enables users to leverage the power of Spark without the complexities of managing infrastructure.